Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 65-73 |
| Seitenumfang | 9 |
| Fachzeitschrift | Production Engineering |
| Jahrgang | 4 |
| Ausgabenummer | 1 |
| Frühes Online-Datum | 17 Nov. 2009 |
| Publikationsstatus | Veröffentlicht - Feb. 2010 |
Abstract
Parts which inherently store data about their fabrication and find their own way through the production, or, machine components that autonomously monitor themselves and arrange inspections as required may still sound like a vision of the future. Nonetheless, in the Collaborative Research Centre 653 'Gentelligent Components in their Lifecycle-Utilisation of Inheritable Component Information in Production Engineering' they will soon be a reality. Transferring characteristics that are similar to those found in nature to industrial production will lead to a paradigm shift in the development and manufacturing of prospective components. This paper presents the techniques and methods that enable this new approach in production engineering by transferring biological principles from the field of genetics into the manufacturing environment.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Maschinenbau
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Production Engineering, Jahrgang 4, Nr. 1, 02.2010, S. 65-73.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Genetics and intelligence
T2 - New approaches in production engineering
AU - Denkena, Berend
AU - Henning, Helge
AU - Lorenzen, Leif Erik
N1 - Funding information: Acknowledgments The results presented in this paper were obtained within the framework of the Collaborative Research Center 653 ‘‘Gentelligent Components in their Lifecycle’’. The authors would like to thank the German Research Foundation for its financial and organisational support of this project.
PY - 2010/2
Y1 - 2010/2
N2 - Parts which inherently store data about their fabrication and find their own way through the production, or, machine components that autonomously monitor themselves and arrange inspections as required may still sound like a vision of the future. Nonetheless, in the Collaborative Research Centre 653 'Gentelligent Components in their Lifecycle-Utilisation of Inheritable Component Information in Production Engineering' they will soon be a reality. Transferring characteristics that are similar to those found in nature to industrial production will lead to a paradigm shift in the development and manufacturing of prospective components. This paper presents the techniques and methods that enable this new approach in production engineering by transferring biological principles from the field of genetics into the manufacturing environment.
AB - Parts which inherently store data about their fabrication and find their own way through the production, or, machine components that autonomously monitor themselves and arrange inspections as required may still sound like a vision of the future. Nonetheless, in the Collaborative Research Centre 653 'Gentelligent Components in their Lifecycle-Utilisation of Inheritable Component Information in Production Engineering' they will soon be a reality. Transferring characteristics that are similar to those found in nature to industrial production will lead to a paradigm shift in the development and manufacturing of prospective components. This paper presents the techniques and methods that enable this new approach in production engineering by transferring biological principles from the field of genetics into the manufacturing environment.
KW - Intelligent products
KW - Product lifecycle
KW - Production engineering
KW - Sensitive materials
UR - http://www.scopus.com/inward/record.url?scp=76049119698&partnerID=8YFLogxK
U2 - 10.1007/s11740-009-0191-z
DO - 10.1007/s11740-009-0191-z
M3 - Article
AN - SCOPUS:76049119698
VL - 4
SP - 65
EP - 73
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 1
ER -